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1926 articles for “CLA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Certain Results Involving Ramanujan’s Theta Functions
Abstract: In this present work, our main aim is to obtain “certain results involving Ramanujan’s theta functions”. In this paper, we have evaluated Ramanujan’s theta functions by making use of certain modular equations due to Ramanujan. Using these values of theta functions, we have also evaluated Ramanujan’s cubic continued fraction and Ramanujan–Weber class invariants Gn and gn.Keywords: Ramanujan’s theta functions, modular equations, Ramanujan–Weber class invariants, Ramanujan’s cubic continued fraction, Modular identitiesCite …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 1, 2020 · pp. 6–15 Read article
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Common Fixed-Point Theorems Satisfying Integral Type Contractive Conditions
Abstract: In this paper, we establish common fixed-point theorems using a contractive condition of integral type. Also, we prove common fixed-point theorems, from a smaller class of compatible continuous mappings to larger class of weakly compatible mappings without using continuity. In the present paper, we establish common fixed-point result for four mappings satisfying a more general contractive condition of integral type and using the recent concept of weak compatible maps.Keywords: compatible …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 1, 2020 · pp. 16–22 Read article
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Diabetic Level Prediction in Humans: Using Supervised Machine Learning Methods
Abstract: Diabetes could be an unremitting malady or a metabolic sick wellbeing cluster where an individual endures from a pervasive sum of insulin-producing blood glucose within the body or since the cells of the body do not react to affront. Steady diabetes hyperglycemia is the damage to long term organs, particularly lungs, kidneys, nerves, the heart and the veins are connected to weakness and misfortune. The objective of this investigation is …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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Automated Detection of Polycystic Ovarian Syndrome using Neural Network Algorithm
Abstract: The ovarian ultrasound imaging could be a good tool in infertility treatment. Monitoring the follicles is extremely important in human reproduction. Periodic measurements of the scale and shape of follicles over several days are the primary means of evaluation by doctors. Today monitoring the follicles is finished by non-automatic means with human interaction. This work could also be very demanding and inaccurate and, in most of the cases, means only …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 9–13 Read article
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Semantic Segmentation Using Fully Convolutional Network for An Autonomous Vehicle
Abstract: Numerous individuals inside the profound learning and PC vision networks comprehend what picture arrangement is. We would like to inform about our model that, what single object or scene is present within the image. Semantic segmentation is the most informative segmentation, where we wish to classify each and every pixel within the image. Deep networks have proved to be encoded with highlevel feature like semantic means which can deliver superior …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 21–27 Read article
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A Study of Hand Gesture Identification with Convolution Neural Network
Abstract: Human-Computer Interaction is the study of how the people interact with machine. Hand gesture technology is active research in computer vision and machine learning. Hand gesture recognition is used enormously in the recent years for Human Computer Interaction (HCI). In this research work, we study about hand gesture identification with machine learning technique. Basically implementation of hand gesture identification has three phases: Preprocessing, Feature extraction, and Classification. This study includes …
Published in Recent Trends in Programming languages · Vol. 8, Issue 1, 2021 · pp. 30–34 Read article
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Prediction of Disease by Symptoms Using Machine Learning
Abstract: Machine Learning and data mining, both play the most popular role in analyzing and prediction in the field of health organization. It also helps to uncover different and new patterns in medicinal science. This project is around prediction of disease with help of the symptoms. This project aims to propose a model which will be strongly trained in detecting common diseases so that few of the common diseases can be …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 1, 2022 · pp. 8–11 Read article
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Implementation of Data Mining Approach to Find the Adaptability of Students in Online Education During COVID-19 Pandemic
Abstract: The global COVID-19 pandemic has severely affected every aspect of human life, including education. The virus' stunning spread created havoc in the educational system, causing educational institutions to close. As an effect, students must quickly adopt to the change to synchronous online learning. This study identified the different aspects affecting the adaptability level of students in online class. It also identifies the student’s adaptability level in different circumstances in online …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 1–8 Read article
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Predict the Severity of Diabetes Cases, Using K-Means and Decision Tree Approach
Abstract: In recent years, diabetes has emerged as one of the most prevalent infections, and its prevalence is rapidly increasing globally. Type 2 diabetes is common throughout the world. For the management and prophylaxis of diabetes, early detection is crucial. Machine Learning (ML) approaches are rapidly gaining importance in the field of diagnostic purposes due to their ability to classify data. In this article, a mixed recommended technique is presented to …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 2, 2022 · pp. 24–31 Read article
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Application of Generic Multi-criteria Economic Model for Line Balancing to a Hypothetical Organization Using Soft Computing Techniques
Abstract: Total Productive Manufacturing (TPM) is feasible only if the Overall Equipment Effectiveness (OEE) of the production line meets world-class standards. In the current research, crisp and fuzzy simulation models are developed and implemented for exploring OEE parameters for a hypothetical manufacturing organization. As OEE parameters, availability, performance efficiency, and quality, in turn, depend on several other parameters, a sort of cascaded effect is generated which can effectively be modeled as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 105–122 Read article
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CNN-based Approach for Efficient Bell Pepper Leaf Disease Recognition
Abstract: Convolutional Neural Networks (CNNs) have achieved remarkable results in the detection of diseased plant leaves, providing highly accurate predictions. This project offers a comprehensive examination of existing systems designed for the detection of plant-based diseases. Using CNN trained on a dataset of bell pepper plant images, various simulation approaches for neurons and layers were employed. Plant diseases have significant impacts on agricultural productivity, leading to economic losses, reduced crop quality, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 16–22 Read article
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Review on Learning Management System facilities for E-learning and Distance Learning
Abstract: The learning management system is one of the most useful systems in the world of technology because in recent years international secondary and higher education centers have been testing with a process that has completed some big changes to their structure and functioning. An excessive number of institutions implement a Learning Management System, and they become more and more common every year. Educational platforms (Learning Management Systems – LMS) are …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 3, 2021 · pp. 6–11 Read article
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Massive Data Capturing and Transmission using Big Data Analytics Model with Machine Learning Prediction
Abstract: Deep learning techniques are widely used in many branches of research and engineering, including language processing, image classification, and speech recognition. Similar to this, processing vast amounts of data is restricted by a number of classical data processing approaches. To deal with information progressively with incredible exactness and effectiveness, huge information investigation requests spic and span, complex calculations in light of machine and profound learning methods. Recent research has, however, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 3, 2022 · pp. 23–30 Read article
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Music Recommendation System Using Big Data and Machine Learning
Abstract: In comparison to earlier times, there is now a wealth of music available thanks to the development of music streaming services that can be used from mobile devices. Classifying digital music can be timeconsuming and cause fatigue. Obtaining one’s favorite music from the huge music selection has become a problem. The creation of a music recommendation system that can search through music libraries and make song recommendations to users based …
Published in Journal of Open Source Developments · Vol. 9, Issue 3, 2022 · pp. 18–24 Read article
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Study on Tools and Challenges of Opinion Mining
Abstract: AbstractOpinion mining is an emerging topic in social media for extraction of large amount of opinionated data available on web. It is a natural language processing technique for examining opinions about a particular product or any topic. Analysis of these opinions is done through various tools available and approaches used. After the process of opinion extraction, a polarity classification is done at different levels. By polarity classification, we mean whether …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 3, 2016 · pp. 14–16 Read article
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Stress Analysis of Variable Thickness FGM Rotating Disks by Element based Material Gradation under Thermomechanical Loading
Abstract: The present research work aims to analyze deformation and stresses, induced in functionally graded rotating disks of variable thicknesses. The disks are made of exponential functionally graded material, whose mechanical and physical properties vary in radial direction. Functionally gradation of the properties is achieved by element-based gradation. Uniform as well as variable thickness, namely concave profile, convex profile and linear varying profile rotating disks are analyzed for clamped-free and free-free …
Published in Trends in Machine design · Vol. 3, Issue 3, 2016 · pp. 32–42 Read article
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Groundwater Quality and Its Suitability Assessment for Irrigation and Drinking in Different Aquifers of Faridpur, Bangladesh
Abstract: Abstract Thirty five groundwater samples were collected to appraise the chemical constituents in order to classify them on the basis of their suitability for irrigation and drinking. The considered water quality parameters are pH, EC, TDS, calcium, magnesium, sodium, potassium, iron, manganese, boron, sulphate, bicarbonate, chloride, sodium adsorption ratio, residual sodium carbonate, soluble sodium percentage, Kelly’s ratio, magnesium percentage and hardness. All the water samples were neutral to slightly alkaline …
Published in Journal of Water Pollution & Purification Research · Vol. 2, Issue 3, 2015 · pp. 5–14 Read article
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Strengthening of Subgrade and Sub-Base of Bituminous Pavement Using RBI Grade 81
Abstract: Abstract The objective of the work is to determine the effectiveness of RBI Grade 81 for improvement in engineering properties of medium plasticity clayey soil. RBI Grade 81 was treated with collected soil sample at different dosages. Various samples have been made by mixing soil with 0, 2, 4, 6 and 8% RBI Grade 81; method of soil replacement is opted for the preparation of samples. After studying the properties …
Published in Journal of Geotechnical Engineering · Vol. 3, Issue 3, 2016 · pp. 27–32 Read article
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Preparation, Characterization and Electrical Conductivity of Chitosan-C 30B/MWCNT Nanocomposite Films
Abstract: In this research programme organoclay clay Cloisite 30B (C 30B) and Multi walled carbon nanotubes (MWCNTs) were successfully blended with the biopolymer Chitosan (CS). The polymer nanocomposites were characterised by various techniques like Fourier Transmission Infrared spectroscopy (FTIR), X-ray Diffraction (XRD) and Scanning Electron Microscope (SEM). From the results it was found that intercalation or nearly exfoliation has been occurred between the polymer and the clay. Electrical conductivity was also …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 18, Issue 3, 2016 · pp. 1–4 Read article
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Smart Materials in Medical Applications
Abstract: AbstractSmart materials are having ability to change its shape according to the external stimulus like temperature, pressure, electric field, magnetic field, etc. These materials includes piezoelectric materials, magnetorheostatic materials, electrorheostatic materials, and shape memory alloy. Shape memory properties provide a very attractive insight into material science, and giving access to unconventional function in every material class. Smart materials are mainly work on the two effects, i.e., shape memory effect and …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 19, Issue 2, 2017 · pp. 22–27 Read article